About the Book
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 100. Chapters: Adaptive algorithm, Adaptive coordinate descent, Algorism, Algorithm characterizations, Algorithm design, Algorithm examples, Backfitting algorithm, Biologically inspired algorithms, British Museum algorithm, Code Bisection, Differential Dynamic Programming, Divide and conquer algorithm, Division algorithm, Domain Generation Algorithm, Fourier division, Generalized distributive law, HAKMEM, Hindley-Milner, Holographic algorithm, Hyphenation algorithm, In-place algorithm, Kinodynamic planning, Kronecker substitution, List of algorithms, List of algorithm general topics, Manhattan address algorithm, Matching engine, Maze generation algorithm, Maze solving algorithm, Medical algorithm, Method of conditional probabilities, One-pass algorithm, Out-of-core algorithm, Ping-pong scheme, PR-CPA advantage, Predictor-corrector method, Principle of deferred decision, Randomization function, Randomized rounding, Reservoir sampling, RNA22, Run-time algorithm specialisation, Sardinas-Patterson algorithm, Sequential algorithm, Sieve of Eratosthenes, Simulation algorithms for atomic DEVS, Simulation algorithms for coupled DEVS, Spreading activation, Streaming algorithm, Super-recursive algorithm, The Art of Computer Programming, Timeline of algorithms, Tomasulo algorithm, XOR swap algorithm. Excerpt: In mathematics and computer science, an algorithm ( -gə-ri-dhəm) is a step-by-step procedure for calculations. Algorithms are used for calculation, data processing, and automated reasoning. An algorithm is an effective method expressed as a finite list of well-defined instructions for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing...
