Top 161 Python Data Structures and Algorithms Goals and Objectives Questions

What is involved in Algorithms

Find out what the related areas are that Algorithms connects with, associates with, correlates with or affects, and which require thought, deliberation, analysis, review and discussion. This unique checklist stands out in a sense that it is not per-se designed to give answers, but to engage the reader and lay out a Algorithms thinking-frame.

How far is your company on its Python Data Structures and Algorithms journey?

Take this short survey to gauge your organization’s progress toward Python Data Structures and Algorithms leadership. Learn your strongest and weakest areas, and what you can do now to create a strategy that delivers results.

To address the criteria in this checklist for your organization, extensive selected resources are provided for sources of further research and information.

Start the Checklist

Below you will find a quick checklist designed to help you think about which Algorithms related domains to cover and 161 essential critical questions to check off in that domain.

The following domains are covered:

Algorithms, Lambda calculus, Calculus ratiocinator, Logical NAND, Parallel algorithm, Maximum flow problem, 7400 series, State transition table, Partial function, Functional programming, Big O notation, Quantum entanglement, Hollerith cards, Recursive algorithm, Automated reasoning, Huffman coding, Simulated annealing, Pidgin code, Graph exploration algorithm, Export of cryptography, National Diet Library, Lookup table, Parameterized complexity, S. C. Kleene, Non-deterministic algorithm, Social Science Research Network, Graphics Interchange Format, Automata theory, Program loops, Turing complete, Fast Fourier transform, Analytical engine, Computer programs, Baudot code, Euclid’s Elements, Mathematical table, Machine code, Algorithmic composition, Arabic numerals, Karnaugh map, Graph theory, Logic programming, Local optimum, House of Wisdom, United States Patent and Trademark Office, Algorithm analysis, Optimal substructure, Formal system, Algorithm characterizations, Georg Cantor, Quantum algorithm, J. Barkley Rosser, Optimization problem, Randomized algorithm, Computational complexity theory, Communications of the ACM, Gottschalk v. Benson, Spaghetti code, Complexity class, Distributed algorithms:

Algorithms Critical Criteria:

Exchange ideas about Algorithms strategies and budget for Algorithms challenges.

– Pick a 15 y.o. student, show him all the algorithms and ask him which ones he likes the best and would use?

– Does the in situ hardware have the computational capacity to support such algorithms?

– How close to the edge can we push the filtering and compression algorithms?

– What encryption algorithms and certificate types are supported?

– If multiple algorithms are selected, how many should there be?

– Can good algorithms, models, heuristics overcome Data Quality problems?

– Is the process repeatable as we change algorithms and data structures?

– What (additional) data do these algorithms need to be effective?

– How do we manage Algorithms Knowledge Management (KM)?

– How do we use AI algorithms in practical applications?

– How do we measure the efficiency of these algorithms?

– Are all our algorithms covered by templates?

– How to deal with Algorithms Changes?

– What algorithms are used?

– Is the scope of Algorithms defined?

Lambda calculus Critical Criteria:

Conceptualize Lambda calculus failures and change contexts.

– Does Algorithms include applications and information with regulatory compliance significance (or other contractual conditions that must be formally complied with) in a new or unique manner for which no approved security requirements, templates or design models exist?

– What prevents me from making the changes I know will make me a more effective Algorithms leader?

Calculus ratiocinator Critical Criteria:

Familiarize yourself with Calculus ratiocinator strategies and oversee Calculus ratiocinator management by competencies.

– Do we cover the five essential competencies-Communication, Collaboration,Innovation, Adaptability, and Leadership that improve an organizations ability to leverage the new Algorithms in a volatile global economy?

– How do senior leaders actions reflect a commitment to the organizations Algorithms values?

– In what ways are Algorithms vendors and us interacting to ensure safe and effective use?

Logical NAND Critical Criteria:

Co-operate on Logical NAND tasks and find the ideas you already have.

– What are the key elements of your Algorithms performance improvement system, including your evaluation, organizational learning, and innovation processes?

– What knowledge, skills and characteristics mark a good Algorithms project manager?

Parallel algorithm Critical Criteria:

Match Parallel algorithm visions and create Parallel algorithm explanations for all managers.

– What are our needs in relation to Algorithms skills, labor, equipment, and markets?

– Are assumptions made in Algorithms stated explicitly?

Maximum flow problem Critical Criteria:

Have a session on Maximum flow problem adoptions and modify and define the unique characteristics of interactive Maximum flow problem projects.

– What other organizational variables, such as reward systems or communication systems, affect the performance of this Algorithms process?

– How will you know that the Algorithms project has been successful?

7400 series Critical Criteria:

Accumulate 7400 series outcomes and plan concise 7400 series education.

– Does Algorithms create potential expectations in other areas that need to be recognized and considered?

– Does Algorithms analysis isolate the fundamental causes of problems?

State transition table Critical Criteria:

Test State transition table quality and oversee implementation of State transition table.

– Who will be responsible for deciding whether Algorithms goes ahead or not after the initial investigations?

– Does Algorithms analysis show the relationships among important Algorithms factors?

– How much does Algorithms help?

Partial function Critical Criteria:

Troubleshoot Partial function visions and summarize a clear Partial function focus.

– To what extent does management recognize Algorithms as a tool to increase the results?

– What are the long-term Algorithms goals?

Functional programming Critical Criteria:

Check Functional programming visions and triple focus on important concepts of Functional programming relationship management.

– What are the short and long-term Algorithms goals?

– What are internal and external Algorithms relations?

Big O notation Critical Criteria:

Examine Big O notation risks and probe the present value of growth of Big O notation.

– Think about the people you identified for your Algorithms project and the project responsibilities you would assign to them. what kind of training do you think they would need to perform these responsibilities effectively?

– Can Management personnel recognize the monetary benefit of Algorithms?

Quantum entanglement Critical Criteria:

Have a round table over Quantum entanglement adoptions and probe using an integrated framework to make sure Quantum entanglement is getting what it needs.

– What are our best practices for minimizing Algorithms project risk, while demonstrating incremental value and quick wins throughout the Algorithms project lifecycle?

– What are the success criteria that will indicate that Algorithms objectives have been met and the benefits delivered?

– What are specific Algorithms Rules to follow?

Hollerith cards Critical Criteria:

Give examples of Hollerith cards leadership and learn.

– How do we Improve Algorithms service perception, and satisfaction?

– What is our Algorithms Strategy?

Recursive algorithm Critical Criteria:

Demonstrate Recursive algorithm decisions and be persistent.

– Think of your Algorithms project. what are the main functions?

– Who will provide the final approval of Algorithms deliverables?

Automated reasoning Critical Criteria:

Incorporate Automated reasoning goals and define Automated reasoning competency-based leadership.

– Is maximizing Algorithms protection the same as minimizing Algorithms loss?

– How to Secure Algorithms?

Huffman coding Critical Criteria:

Systematize Huffman coding outcomes and stake your claim.

– Which individuals, teams or departments will be involved in Algorithms?

– Are there Algorithms problems defined?

– Why are Algorithms skills important?

Simulated annealing Critical Criteria:

Adapt Simulated annealing strategies and get answers.

– How do we ensure that implementations of Algorithms products are done in a way that ensures safety?

– What is the source of the strategies for Algorithms strengthening and reform?

– What are current Algorithms Paradigms?

Pidgin code Critical Criteria:

Communicate about Pidgin code quality and find out.

– Is Algorithms Realistic, or are you setting yourself up for failure?

– How do we go about Comparing Algorithms approaches/solutions?

Graph exploration algorithm Critical Criteria:

Trace Graph exploration algorithm strategies and display thorough understanding of the Graph exploration algorithm process.

– What are your current levels and trends in key measures or indicators of Algorithms product and process performance that are important to and directly serve your customers? how do these results compare with the performance of your competitors and other organizations with similar offerings?

Export of cryptography Critical Criteria:

Bootstrap Export of cryptography results and oversee Export of cryptography management by competencies.

– Among the Algorithms product and service cost to be estimated, which is considered hardest to estimate?

– What role does communication play in the success or failure of a Algorithms project?

– How would one define Algorithms leadership?

National Diet Library Critical Criteria:

Review National Diet Library planning and ask questions.

– Risk factors: what are the characteristics of Algorithms that make it risky?

– What is our formula for success in Algorithms ?

– How do we maintain Algorithmss Integrity?

Lookup table Critical Criteria:

Merge Lookup table management and test out new things.

– What will be the consequences to the business (financial, reputation etc) if Algorithms does not go ahead or fails to deliver the objectives?

Parameterized complexity Critical Criteria:

Communicate about Parameterized complexity quality and find out what it really means.

– What management system can we use to leverage the Algorithms experience, ideas, and concerns of the people closest to the work to be done?

– Why is it important to have senior management support for a Algorithms project?

– When a Algorithms manager recognizes a problem, what options are available?

S. C. Kleene Critical Criteria:

Grasp S. C. Kleene management and catalog S. C. Kleene activities.

– How do we measure improved Algorithms service perception, and satisfaction?

Non-deterministic algorithm Critical Criteria:

Adapt Non-deterministic algorithm decisions and diversify disclosure of information – dealing with confidential Non-deterministic algorithm information.

– what is the best design framework for Algorithms organization now that, in a post industrial-age if the top-down, command and control model is no longer relevant?

Social Science Research Network Critical Criteria:

Audit Social Science Research Network strategies and gather practices for scaling Social Science Research Network.

– Are there any easy-to-implement alternatives to Algorithms? Sometimes other solutions are available that do not require the cost implications of a full-blown project?

Graphics Interchange Format Critical Criteria:

Differentiate Graphics Interchange Format adoptions and oversee implementation of Graphics Interchange Format.

– What is the total cost related to deploying Algorithms, including any consulting or professional services?

Automata theory Critical Criteria:

Examine Automata theory adoptions and gather practices for scaling Automata theory.

– What sources do you use to gather information for a Algorithms study?

– What vendors make products that address the Algorithms needs?

– Can we do Algorithms without complex (expensive) analysis?

Program loops Critical Criteria:

Define Program loops management and devise Program loops key steps.

– A compounding model resolution with available relevant data can often provide insight towards a solution methodology; which Algorithms models, tools and techniques are necessary?

Turing complete Critical Criteria:

Deduce Turing complete outcomes and remodel and develop an effective Turing complete strategy.

– Have all basic functions of Algorithms been defined?

Fast Fourier transform Critical Criteria:

Consolidate Fast Fourier transform planning and look at it backwards.

– Marketing budgets are tighter, consumers are more skeptical, and social media has changed forever the way we talk about Algorithms. How do we gain traction?

– Have you identified your Algorithms key performance indicators?

Analytical engine Critical Criteria:

Consolidate Analytical engine leadership and revise understanding of Analytical engine architectures.

– For your Algorithms project, identify and describe the business environment. is there more than one layer to the business environment?

– Are there any disadvantages to implementing Algorithms? There might be some that are less obvious?

– Will Algorithms deliverables need to be tested and, if so, by whom?

Computer programs Critical Criteria:

Be clear about Computer programs governance and oversee implementation of Computer programs.

– What are your key performance measures or indicators and in-process measures for the control and improvement of your Algorithms processes?

– What are our Algorithms Processes?

Baudot code Critical Criteria:

Drive Baudot code management and mentor Baudot code customer orientation.

– Can we add value to the current Algorithms decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)?

Euclid’s Elements Critical Criteria:

Grade Euclid’s Elements visions and report on developing an effective Euclid’s Elements strategy.

– How can we incorporate support to ensure safe and effective use of Algorithms into the services that we provide?

– How do we know that any Algorithms analysis is complete and comprehensive?

Mathematical table Critical Criteria:

Troubleshoot Mathematical table goals and track iterative Mathematical table results.

– Which Algorithms goals are the most important?

– How can the value of Algorithms be defined?

Machine code Critical Criteria:

Consolidate Machine code decisions and test out new things.

– Have the types of risks that may impact Algorithms been identified and analyzed?

Algorithmic composition Critical Criteria:

Own Algorithmic composition tasks and raise human resource and employment practices for Algorithmic composition.

– How do we go about Securing Algorithms?

Arabic numerals Critical Criteria:

Huddle over Arabic numerals tactics and get answers.

– How do you determine the key elements that affect Algorithms workforce satisfaction? how are these elements determined for different workforce groups and segments?

– How do mission and objectives affect the Algorithms processes of our organization?

– What are all of our Algorithms domains and what do they do?

Karnaugh map Critical Criteria:

Substantiate Karnaugh map decisions and test out new things.

– What is the purpose of Algorithms in relation to the mission?

– What about Algorithms Analysis of results?

Graph theory Critical Criteria:

Confer re Graph theory risks and triple focus on important concepts of Graph theory relationship management.

– How do your measurements capture actionable Algorithms information for use in exceeding your customers expectations and securing your customers engagement?

Logic programming Critical Criteria:

Adapt Logic programming leadership and integrate design thinking in Logic programming innovation.

– Do we aggressively reward and promote the people who have the biggest impact on creating excellent Algorithms services/products?

– What are the record-keeping requirements of Algorithms activities?

Local optimum Critical Criteria:

Track Local optimum goals and develop and take control of the Local optimum initiative.

– How will we insure seamless interoperability of Algorithms moving forward?

– How do we Identify specific Algorithms investment and emerging trends?

House of Wisdom Critical Criteria:

Have a session on House of Wisdom adoptions and budget for House of Wisdom challenges.

United States Patent and Trademark Office Critical Criteria:

Devise United States Patent and Trademark Office quality and customize techniques for implementing United States Patent and Trademark Office controls.

– How likely is the current Algorithms plan to come in on schedule or on budget?

– What business benefits will Algorithms goals deliver if achieved?

Algorithm analysis Critical Criteria:

Judge Algorithm analysis decisions and get out your magnifying glass.

Optimal substructure Critical Criteria:

Consolidate Optimal substructure decisions and separate what are the business goals Optimal substructure is aiming to achieve.

Formal system Critical Criteria:

Think about Formal system management and budget the knowledge transfer for any interested in Formal system.

– Do We have a formal system for managing risks, so we can be sure we will not have a problem in the future?

– Is a Algorithms Team Work effort in place?

– How do we Lead with Algorithms in Mind?

Algorithm characterizations Critical Criteria:

Differentiate Algorithm characterizations planning and give examples utilizing a core of simple Algorithm characterizations skills.

Georg Cantor Critical Criteria:

Closely inspect Georg Cantor engagements and probe the present value of growth of Georg Cantor.

Quantum algorithm Critical Criteria:

Consult on Quantum algorithm governance and create a map for yourself.

– Do you monitor the effectiveness of your Algorithms activities?

J. Barkley Rosser Critical Criteria:

Sort J. Barkley Rosser tasks and test out new things.

– Think about the functions involved in your Algorithms project. what processes flow from these functions?

– Is there any existing Algorithms governance structure?

Optimization problem Critical Criteria:

Experiment with Optimization problem visions and finalize the present value of growth of Optimization problem.

– How can skill-level changes improve Algorithms?

– Are we Assessing Algorithms and Risk?

Randomized algorithm Critical Criteria:

Demonstrate Randomized algorithm management and prioritize challenges of Randomized algorithm.

Computational complexity theory Critical Criteria:

Map Computational complexity theory engagements and get going.

– How can we improve Algorithms?

Communications of the ACM Critical Criteria:

Model after Communications of the ACM goals and triple focus on important concepts of Communications of the ACM relationship management.

– How do we keep improving Algorithms?

Gottschalk v. Benson Critical Criteria:

Be clear about Gottschalk v. Benson outcomes and question.

– Is there a Algorithms Communication plan covering who needs to get what information when?

Spaghetti code Critical Criteria:

Accumulate Spaghetti code decisions and summarize a clear Spaghetti code focus.

– Does Algorithms appropriately measure and monitor risk?

– What will drive Algorithms change?

Complexity class Critical Criteria:

Mix Complexity class results and catalog what business benefits will Complexity class goals deliver if achieved.

– Does the Algorithms task fit the clients priorities?

– What are the Essentials of Internal Algorithms Management?

Distributed algorithms Critical Criteria:

Closely inspect Distributed algorithms adoptions and differentiate in coordinating Distributed algorithms.

– Are there Algorithms Models?


This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the Python Data Structures and Algorithms Self Assessment:

Author: Gerard Blokdijk

CEO at The Art of Service |

[email protected]

Gerard is the CEO at The Art of Service. He has been providing information technology insights, talks, tools and products to organizations in a wide range of industries for over 25 years. Gerard is a widely recognized and respected information expert. Gerard founded The Art of Service consulting business in 2000. Gerard has authored numerous published books to date.

External links:

To address the criteria in this checklist, these selected resources are provided for sources of further research and information:

Algorithms External links:

ACLS Algorithms & Protocol for 2017 – ACLS Medical Training

Algorithms for Advanced Cardiac Life Support 2018

BLS Algorithms and Training 2018 –

Lambda calculus External links:

Lambda Calculus – Computerphile – YouTube

The Lambda Calculus (Stanford Encyclopedia of Philosophy)

[PDF]A Tutorial Introduction to the Lambda Calculus

Calculus ratiocinator External links:

[PDF]Husserl’s Theory of Language as Calculus Ratiocinator

Calculus ratiocinator – YouTube

Gottfried Leibniz & The Calculus Ratiocinator – YouTube

Logical NAND External links:

Logical nand | Jameco Electronics

IC7400, 74HC00, 74LS00- Logical NAND gate LAB …

Parallel algorithm External links:

Parallel Algorithm Tutorial –

[PDF]A Parallel Algorithm for Solving the 3d Schrodinger …

[PDF]Lecture 4: Principles of Parallel Algorithm Design

Maximum flow problem External links:

Maximum Flow Problem –

Maximum Flow Problem in Excel – EASY Excel Tutorial

08G Maximum Flow Problem & Ford Fulkerson Method –

7400 series External links:

AquaPruf 7400 Series Sanitary Conveyor – Dorner Conveyors

Werner 7400 Series | Fiberglass Stepladder

Wood Garage Doors 7400 series – Wayne Dalton Garage …

State transition table External links:

State Transition Table (STT) – YouTube

Partial function External links:

Partial function – YouTube

[PDF]Learning Logic Programs with Unary Partial Function …

2 PEP 309: Partial Function Application – Python

Functional programming External links:

What is functional programming? – Quora

Java 8 Functional Programming: Lambda Expressions Quickly

Big O notation External links:

Big O Notation Arrays vs. Linked List insertions

Quantum entanglement External links:

Quantum Entanglement in Physics – ThoughtCo

“Quantum Entanglement” by Tanner Heral – Indiana …

Quantum entanglement –

Hollerith cards External links:

IBM Hollerith cards | Scrapbookpages Blog

Recursive algorithm External links:

[PDF]CS483-04 Non-recursive and Recursive Algorithm …

Recursive Algorithm – Department Of Computer Science

Recursive Algorithm on Scratch

Automated reasoning External links:

Handbook of Automated Reasoning – ScienceDirect

Financial Industry Looks to Automated Reasoning – …

UCLA Automated Reasoning Group – YouTube

Huffman coding External links:


Huffman coding in Python – TechRepublic

Huffman Coding: A CS2 Assignment – Duke University

Simulated annealing External links:

Simulated Annealing – MATLAB & Simulink – MathWorks

Export of cryptography External links:

[PDF]The Export of Cryptography

Export of Cryptography –

The export of cryptography is the transfer from one country to another of devices and technology related to cryptography.

National Diet Library External links:

Floor Plan | National Diet Library

National Diet Library | library, Tokyo, Japan |

National Diet Library 国立国会図書館 — National Diet Library

Lookup table External links:

Excel formula: Dynamic lookup table with INDIRECT | …

[PDF]Table 6. Carbon Intensity Lookup Table for Gasoline …

Lookup Tables in OBIEE 11g – Adiva Consulting

Parameterized complexity External links:

Parameterized Complexity of MaxSat Above Average : …

The Turing way to parameterized complexity – ScienceDirect

S. C. Kleene External links:

Shoenfield , Kleene : The Mathematical Work of S. C. Kleene

S. C. Kleene, Countable Functionals – PhilPapers

Social Science Research Network External links:

Social Science Research Network –

social science research network | The Stem Cellar

Social Science Research Network | USC Libraries

Graphics Interchange Format External links:

Graphics interchange format (GIF) – explained – YouTube

GIF Graphics Interchange Format, Version 89a

Graphics Interchange Format

Automata theory External links:

Automata theory |

Group actions on sets and automata theory – ScienceDirect

Automata Theory Flashcards | Quizlet

Program loops External links:

C++ Program loops forever – Stack Overflow

Program loops | Pooja Vaishnav

Turing complete External links:

Jesse Squires · Turing complete with a stack of 0xdeadbeef

Making a computer Turing complete – YouTube

Am I Turing complete? – Quora

Fast Fourier transform External links:

Fast Fourier transform – MATLAB fft

[PDF]Fast Fourier Transform MATLAB Implementation comm sys/FFTandMatLab-wanjun huang.pdf

Inverse fast Fourier transform – MATLAB ifft

Analytical engine External links:

The First Computer: Charles Babbage’s Analytical Engine

What is the Analytical Engine? (with picture) – wiseGEEK

What is an Analytical Engine? – Computer Hope

Computer programs External links:

Students / Computer Programs

CPSI Key Statistics | Computer Programs and Systems, …

Baudot code External links:

Morse & Baudot Code | Dot To Dot

Baudot code – YouTube

Baudot Code definitions – Defined Term

Euclid’s Elements External links:

Euclid’s Elements, Introduction

The thirteen books of Euclid’s Elements – Internet Archive

Euclid’s Elements & Pottery Tools

Mathematical table External links:

[math/0511490] Mathematical table turning revisited

mathematical table in – hacktechway

mathematical table. A listing of the values of a function of one or several variables at a series of values of the arguments, usually equally spaced.

Machine code External links:

Machine Code Instructions – YouTube

What is “Machine Code” (aka “Machine Language”)?

M-codes Machine Code Reference | Tormach Inc. …

Algorithmic composition External links:

Algorithmic Composition – University of Michigan Press

Arabic numerals External links:

Hindu-Arabic numerals | History & Facts |

Karnaugh map External links:

Online Karnaugh Map Calculator – leventozturk

Karnaugh Map (K’ Map) Part 3 – YouTube

Karnaugh Map – Digital Electronics Course

Graph theory External links:

Chapter 14: Graph Theory Flashcards | Quizlet

graph theory | Problems & Applications |

[PDF]An Introduction to Combinatorics and Graph Theory

Logic programming External links:

[PDF]Logic Programming –

Logic programming (Book, 1991) []

[PDF]Chapter 2: Basic Ladder Logic Programming – …

Local optimum External links:

Local optimum – YouTube

Escape The Local Optimum

Local optimum hit Job Listings |

House of Wisdom External links:

House of Wisdom – YouTube

The House of Wisdom (Book, 2000) []

The House of Wisdom: How the Arabs Transformed …

United States Patent and Trademark Office External links:

United States Patent and Trademark Office – Official Site

United States Patent and Trademark Office

United States Patent and Trademark Office | Department …

Algorithm analysis External links:

Algorithm Analysis | Udemy

Algorithm Analysis Flashcards | Quizlet

[PDF]Sorting and Algorithm Analysis – HUIT Sites Hosting

Formal system External links:

Formal system | logic |

Formal System Processing of Juveniles: Effects on …

What is the formal system in mathematics? – Quora

Georg Cantor External links:

Georg Cantor Facts & Biography | Famous Mathematicians

No. 1484: Georg Cantor – University of Houston

[PDF]Georg Cantor (1845-1918) – Vanderbilt University

Quantum algorithm External links:

Title: A Quantum Algorithm for Finding the Minimum – arXiv

A Quantum Algorithm Could Help Us Bring AI to Life

[PDF]Quantum algorithm breakthrough –

J. Barkley Rosser External links:

J. Barkley Rosser | American mathematician |

J. Barkley Rosser | The MIT Press

[PDF]J. Barkley Rosser Memorial Lecture

Optimization problem External links:

Optimization Problem – Towards Data Science

[PDF]How to solve an optimization problem?

Optimization Problem Types – Convex Optimization | solver

Randomized algorithm External links:

[PDF]A Randomized Algorithm for Comparing Sets of …

Title: A randomized algorithm for principal component analysis

Algorithm Classification Randomized Algorithm – YouTube

Computational complexity theory External links:

Computational Complexity Theory (Stanford …

Communications of the ACM External links:

Sign In | Communications of the ACM

Communications of the ACM – Home | Facebook


Gottschalk v. Benson External links:

Gottschalk v. Benson Case Brief – Quimbee

Spaghetti code External links:

Day9 and Spaghetti Code – Twitch

Spaghetti Code | DevIQ

Batch files – GOTO, and How To Avoid “Spaghetti Code”

Complexity class External links:

[PDF]The complexity class coNP – West Virginia University

Distributed algorithms External links:

Distributed Algorithms by Nancy A. Lynch – Goodreads

Distributed Algorithms – MIT CSAIL

Distributed algorithms (Book, 1996) []