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Probability mass function - In probability theory, a probability mass function (abbreviated pmf) gives the probability that a discrete random variable is exactly equal to some value. A probability mass function differs from a probability density function in that the values of the latter, defined only for continuous random variables, ...
Probability distribution - In mathematics and statistics, a probability distribution, more properly called a probability density, assigns to every interval of the real numbers a probability, so that the probability axioms are satisfied. In technical terms, a probability distribution is a probability measure whose domain is the Borel algebra on the reals.
Noncrossing partition - In combinatorial mathematics, the topic of noncrossing partitions has assumed some importance because of (among other things) its application to the theory of free probability.
Schrödinger method - In combinatorial mathematics and probability theory, the Schrödinger method, named after the Austrian physicist Erwin Schrödinger, is used to solve some problems of distribution and occupancy.
Combinatorics, Probability and Computing - Now published bimonthly, devoted to the three areas of combinatorics, probability theory and theoretical computer science. Topics covered include classical and algebraic graph theory, extremal set theory, matroid theory, probabilistic methods and random combinatorial structures; combinatorial probability and limit theorems for random combinatorial structures; the theory of algorithms (including complexity theory), randomised algorithms, probabilistic analysis of algorithms, computational learning theory and optimisation.
Combinatorics, Probability and Computing - (CUP) Topics covered include classical and algebraic graph theory, extremal set theory, matroid theory, probabilistic methods and random combinatorial structures; combinatorial probability and limit theorems for random combinatorial structures; the theory of algorithms (including complexity theory), randomised algorithms, probabilistic analysis of algorithms, computational learning theory and optimisation. Contact information; full ...
Random Structures and Algorithms - ... algorithms, and applications of probabilistic methods to cryptography, data structures, searching and sorting. The journal also devotes space to such areas of probability theory as percolation, random walks and combinatorial aspects of probability. Table of contents with abstracts on-line starting with volume 8 (1996), full text available to subscribers.
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Combinatorial Introduction to Topology - Combinatorial Introduction to Topology A Combinatorial Introduction to Topology by Michael Henle, The creation of algebraic topology is a major accomplishment of the 20th ... recent past. The book also conveys the fun and adventure that can be part of a mathematical investigation. Combinatorial topology - In mathematics, combinatorial topology was an older name for algebraic topology, dating from the time when ...
Discrete and Combinatorial Mathematics Fifth Edition - Discrete and Combinatorial Mathematics Fifth Edition Schaum's Outline of Theory and Problems of Discrete Mathematics by Seymour Lipschultz, Master discrete ... standard mathematical language, used in university-level courses and routinely in research papers. Discrete geometry - Discrete geometry or combinatorial geometry may be loosely defined as study of geometrical objects and properties that are discrete or combinatorial, ...
Probabilistic Combinatorics - ... elegant and informative proofs which may be called gems of the theory. A wide spectrum of most powerful combinatorial tools is presented: methods of extremal set theory, the linear algebra method, the probabilistic method and fragments of ... computer science motivates the liveliness and inherent usefulness of these methods to approach problems outside combinatorics. No special combinatorial or algebraic background is assumed. All necessary elements of linear algebra and discrete probability are introduced before ...
Probabilistic Combinatorics - ... elegant and informative proofs which may be called gems of the theory. A wide spectrum of most powerful combinatorial tools is presented: methods of extremal set theory, the linear algebra method, the probabilistic method and fragments of ... computer science motivates the liveliness and inherent usefulness of these methods to approach problems outside combinatorics. No special combinatorial or algebraic background is assumed. All necessary elements of linear algebra and discrete probability are introduced before ...
Discrete Mathematics and Its Application - ... Y. discretemathematicsanditsapplication The Essence of Discrete Mathematics Through Applications lets the recently revised NCTM Standards be its guide. Probability The word probability derives from the principles of the error being 0; (3) the area enclosed is 1, it being ...
Probabilistic Combinatorics - ... elegant and informative proofs which may be called gems of the theory. A wide spectrum of most powerful combinatorial tools is presented: methods of extremal set theory, the linear algebra method, the probabilistic method and fragments of ... computer science motivates the liveliness and inherent usefulness of these methods to approach problems outside combinatorics. No special combinatorial or algebraic background is assumed. All necessary elements of linear algebra and discrete probability are introduced before ...
Applied Combinatorial Discrete Introduction Mathematics - Applied Combinatorial Discrete Introduction Mathematics The Essence of Discrete Mathematics by Neville Dean, The Essence of Discrete Mathematics is an ... and shows how they can be applied; this case study is gradually developed throughout the book. Integer and Combinatorial Optimization by Laurence A. Wolsey, Rave reviews for "INTEGER AND COMBINATORIAL OPTIMIZATION" "This book provides an excellent ...
Probabilistic Combinatorics - ... elegant and informative proofs which may be called gems of the theory. A wide spectrum of most powerful combinatorial tools is presented: methods of extremal set theory, the linear algebra method, the probabilistic method and fragments of ... computer science motivates the liveliness and inherent usefulness of these methods to approach problems outside combinatorics. No special combinatorial or algebraic background is assumed. All necessary elements of linear algebra and discrete probability are introduced before ...
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