Abstract Algebra Algebra Algebraic Geometry Algebraic Topology Applied Mathematics Arithmetic Geometry Basic Algebra Basic Mathematics Calculus Category Theory Classical Analysis Combinatorics Commutative Algebra Complex Algebra Complex Analysis Differential Algebra Differential Analysis Differential Calculus Differential Equations Differential Geometry Differential Topology Discrete Mathematics Elliptic Curves Fourier Analysis Functional Analysis Fractals Fractional Calculus Geometric Algebra Geometry Geometric Topology Groups Theory Graph Theory Harmonic Analysis Higher Algebra History of Mathematics Homological Algebra Integral Calculus K-theory Lie Algebra Linear Algebra Mathematical Analysis Mathematical Series Modern Geometry Multivairable Calculus Number Theory Numerical Analysis Probability Theory Real Analysis Rings and Fileds Riemannian Geometry Theorems in Calculus Topology Trigonometry Set Theory Constants & Numerical Sequences
Introduction to Complexity Classes
This book explains the following topics: Computability, Initiation to Complexity Theory, The Turing Model: Basic Results, Introduction to the Class NP, Reducibilities, Complete Languages, Separation Results, Stochastic Choices, Quantum Complexity, Theory of Real Computation and Kolmogorov Complexity.
Author(s): Chee K. Yap
NA Pages 
Digital Notes On Discrete Mathematics
This note explains the following topics related to Discrete Mathematics : Mathematical Logic, Relations, Algebraic structures, Elementary Combinatorics, Recurrence Relation, Graph Theory.
Author(s): Malla Reddy College Of Engineering and Technology
88 Pages
Discrete Mathematics by Andrew D. Ker
This PDF covers the following topics related to Discrete Mathematics : Introduction, Sets, Functions, Counting, Relations, Sequences, Modular Arithmetic, Asymptotic Notation, Orders.
Author(s): Andrew D. Ker, Oxford University Computing Laboratory
125 Pages
Discrete Mathematics II Set Theory for Computer Science
The aim of this note is to introduce fundamental concepts and techniques in set theory in preparation for its many applications in computer science. Topics covered includes: Mathematical argument, Sets and Logic, Relations and functions, Constructions on sets, Well-founded induction.
Author(s): Glynn Winskel
112 Pages
Applied Discrete Mathematics William Shoaff
This note explains the following topics: positional and modular number systems, relations and their graphs, discrete functions, set theory, propositional and predicate logic, sequences, summations, mathematical induction and proofs by contradiction.
Author(s): William D Shoaff
NA Pages
A Collection of Short Lectures on Discrete Mathematics
This note covers the following topics: Boolean Logic, Sets, Predicate Logic, Sequences, Recursion, Mathematical Induction, Relations, Functions, Naming Systems, Number Systems, Proofs.
Author(s): William D Shoaff
NA Pages
Notes on Discrete Mathematics by James Aspnes
This is a course note on discrete mathematics as used in Computer Science. Topics covered includes: Mathematical logic, Set theory, The real numbers, Induction and recursion, Summation notation, Asymptotic notation, Number theory, Relations, Graphs, Counting, Linear algebra, Finite fields.
Author(s): James Aspnes
390 Pages
Lecture Notes on Discrete Mathematics (PDF 111P)
This note covers the following topics: Preliminaries, Counting and Permutations, Advanced Counting, Polya Theory, Generating Functions and Its Applications.
Author(s): A. K. Lal
111 Pages
Discrete Mathematics (PDF 139P)
This note covers the following topics: induction, counting subsets, Pascal's triangle, Fibonacci numbers, combinatorial probability, integers divisors and primes, Graphs, Trees, Finding the optimum, Matchings in graphs, Graph coloring.
Author(s): L. Lovasz and K. Vesztergombi
139 Pages
A Short Course in Discrete Mathematics
This book consists of six units of study: Boolean Functions and Computer Arithmetic, Logic, Number Theory and Cryptography, Sets and Functions, Equivalence and Order, Induction, Sequences and Series. Each of this is divided into two sections. Each section contains a representative selection of problems. These vary from basic to more difficult, including proofs for study by mathematics students or honors students.
Author(s): Edward A. Bender and S. Gill Williamson
NA Pages
This note explains the following topics: Relations, Maps, Order relations, Recursion and Induction, Bounding some recurrences, Graphs, Lattices and Boolean Algebras.
Author(s): Hans Cuypers
74 Pages
Introduction to Finite Mathematics
This note covers the following topics: Compound Statements, Sets and subsets, Partitions and counting, Probability theory, Vectors and matrices, Linear programming and the theory of games, Applications to behavioral science problems.
Author(s): John G. Kemeny, J. Laurie Snell, and Gerald L. Thompson
NA Pages
This note covers the following topics: Factorials , Binomial Theorem, Sequence and Series, Mathematical Induction.
Author(s): University of Southern Queensland
42 Pages
Fundamental Problems in Algorithmic Algebra
This book explains the following topics: Arithmetic, The Greatest Common Divisor, Subresultants, Modular Techniques, Fundamental Theorem of Algebra, Roots of Polynomials, Sturm Theory, Gaussian Lattice Reduction, Lattice Reduction and Applications, Linear Systems, Elimination Theory, Groebner Bases, Bounds in Polynomial Ideal Theory and Continued Fractions.
Author(s): Chee Yap
NA Pages
Introduction to Complexity Classes
This book explains the following topics: Computability, Initiation to Complexity Theory, The Turing Model: Basic Results, Introduction to the Class NP, Reducibilities, Complete Languages, Separation Results, Stochastic Choices, Quantum Complexity, Theory of Real Computation and Kolmogorov Complexity.
Author(s): Chee K. Yap
NA Pages
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Author(s): NA
NA Pages
Basics of Algebra and Analysis for Computer Science
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA PagesAdvertisement
