Finite Sets Books
A First Course in Linear Algebra
Author: Robert Beezer
School: Edo University
Department: Science and Technology
Course Code: MTH214
Topics: Linear algebra, vector, Reduced Row-Echelon Form, vector operations, linear combinations, spanning sets, linear independence, orthogonality, matrices, matrix operation, matrix multiplication, matrix inverses, vector spaces, subspaces, matrix determinants, Eigenvalues, Eigen vectors, linear transformations, Injective Linear Transformations, Surjective Linear Transformations, Invertible Linear Transformations, vector representations, matrix representations, complex number operations, sets
Author: Carl Simon, Lawrence Blume
School: University of Ibadan
Department: Administration, Social and Management science
Course Code: ECO341
Topics: ECONOMIC THEORY, CONSUMER CHOICE, One-Variable Calculus, LINEAR FUNCTIONS, NONLINEAR FUNCTIONS, COMPUTING DERIVATIVES, Calculus, DIFFERENTIABILITY, CONTINUITY, Chain Rule, Exponents, Logarithms, LINEAR SYSTEMS, Matrix, Matrices, Euclidean Spaces, VECTORS, PLANES, Linear Independence, Limits, Open Sets, Sets, Functions, DIRECTIONAL DERIVATIVES, GRADIENTS, LINEAR CONSTRAINTS, BORDERED MATRICES, Optimization, CONDITIONS, Homogeneous Functions, Homothetic Functions
Languages and Machines, 3rd edition
Author: Thomas Sudkamp
School: Edo University
Department: Science and Technology
Course Code: CSC314
Topics: Languages, regular expression, text searching, grammars, automata, languages, Chomsky normal form, finite automata, deterministic finite automata, Myhill-Nerode theorem, homky, undecidability, Rice's theorem, Mu-recursive functions, numeric computation, incomputable functions, linear-bounded automata, computational complexity, linear speedup, Hamiltonian circuit problem, polynomial-time reduction, satisfiability problem, complexity class relations, optimization problems, approximation algorithms, approximation schemes, space complexity, deterministic parsing
Pure Mathematics for Advanced Level ,2nd edition
Author: BD Bunday, Mulholland
School: Federal University of Agriculture, Abeokuta
Department: Science and Technology
Course Code: MTS105
Topics: Finite sequences, finite series, complex numbers, binomial theorem, quadratic function, quadratic equation, Trigonometric equations, Trigonometric functions, solution of triangles, differential calculus, differentiation, differentiation techniques, logarithmic functions, exponential functions, intefration, integral calculus, differential equations, co-ordinate geometry, straight line, parabola, ellipse, hyperbola, numerical methods, vectors
Author: Marjolijn verspoor
School: Obafemi Awolowo University
Department: Law
Course Code: EGL101
Topics: English sentence Analysis, sentences, English word order, simple sentence, compound sentence, complex sentence, verbs, Simple versus complex verb phrases, Lexical versus auxiliary verbs, Finite versus non-finite verb forms, Auxiliary verbs, lexical verbs, Intransitive verbs, copula verbs, Transitive verbs, Monotransitive verbs, Ditransitive verbs, Complex-transitive verbs, Direct object forms, Word classes, nouns, adjectives, pronouns, phrases, verb phrases, adjective phrases, adverb phrases, prepositional phrases, Adverbials, Punctuation marks
Numerical methods for engineers ,8th edition
Author: Steven Chapra, Raymond Canale
School: University of Uyo
Department: Engineering
Course Code: GRE411
Topics: Mathematical Modeling, Engineering Problem Solving, Programming, Software, structured programming, Modular Programming, EXCEL, MATLAB, Mathcad, Significant Figures, accuracy, precision, error, Round-Off Errors, Truncation Errors, Taylor Series, Bracketing Methods graphical method, bisection method, False-Position Method, Simple Fixed-Point Iteration, Newton-Raphson Method, secant method, Brent’s Method, multiple roots, Roots of Polynomials, Müller’s Method, Bairstow’s Method, Roots of Equations pipe friction, Gauss Elimination, Naive Gauss Elimination, complex systems, Gauss-Jordan, LU Decomposition, Matrix Inversion, Special Matrices, Gauss-Seidel, Linear Algebraic Equations, Steady-State Analysis, One-Dimensional Unconstrained Optimization, Parabolic Interpolation, Golden-Section Search, Multidimensional Unconstrained Optimization, Constrained Optimization, linear programming, Nonlinear Constrained Optimization, Least-Squares Regression, linear regression, polynomial regression, Multiple Linear Regression, Nonlinear Regression, Linear Least Squares, interpolation, Newton’s Divided-Difference Interpolating Polynomials, Lagrange Interpolating Polynomials, Inverse Interpolation, Spline Interpolation, Multidimensional Interpolation, Fourier Approximation, Curve Fitting, Sinusoidal Functions, Continuous Fourier Series, Fourier Integral, Fourier Transform, Discrete Fourier Transform, Fast Fourier Transform, power spectrum, Newton-Cotes Integration Formulas, Trapezoidal Rule, Simpson’s Rules, multiple integrals, Newton-Cotes Algorithms, Romberg Integration, Adaptive Quadrature, Gauss Quadrature, Improper Integrals, Monte Carlo Integration, Numerical Differentiation, High-Accuracy Differentiation Formulas, Richardson Extrapolation, partial derivatives, Numerical Integration, Runge-Kutta Method, Euler’s Method, Boundary-Value Problems, Eigenvalue Problems, Finite Difference, Elliptic Equations, Laplace equation, Boundary Condition, Heat-Conduction Equation, Crank-Nicolson Method, Finite-Element Method
Introduction to digital image processing
Author: William Pratt
School: National Open University of Nigeria
Department: Science and Technology
Course Code: CIT891
Topics: digital image processing, Continuous Image Mathematical Characterization, Continuous Image Characterization, light perception, eye physiology, visual phenomena, monochrome vision model, Photometry, Colorimetry, color matching, color spaces, image sampling, image reconstruction, Monochrome Image Sampling Systems, Monochrome Image Reconstruction Systems, Color Image Sampling Systems, image measurement, Discrete Image Mathematical Characterization, Vector-Space Image Representation, Generalized Two-Dimensional Linear Operator, Image Statistical Characterization, Image Probability Density Models, Linear Operator Statistical Representation, Finite-Area Superposition, Finite-Area Convolution, Sampled Image Superposition, Sampled Image Convolution, Circulant Superposition, circulant Convolution, General Unitary Transforms, Fourier transform, cosine transform, sine transform, Hartley transform, Hadamard Transforms, Haar Transforms, Daubechies Transforms, Karhunen–Loeve Transform, wavelet transforms, Linear Processing Techniques, Transform Domain Processing, Transform Domain Superposition, Fast Fourier Transform Convolution, Fourier Transform Filtering, image improvement, Image Enhancement, Contrast Manipulation, Histogram Modification, noise cleaning, Edge Crispening, Color Image Enhancement, Multispectral Image Enhancement, image restoration, image restoration models, Continuous Image Spatial Filtering Restoration, Pseudoinverse Spatial Image Restoration, Statistical Estimation Spatial Image Restoration, Multi-Plane Image Restoration, Geometrical Image Modification, Morphological Image Processing, binary image, Edge Detection, Image Feature Extraction, Image Segmentation, shape analysis, Image Detection, image Registration, Point Processing Image Compression, image compression, video compression, Spatial Processing Image Compression
Vector Quantization and Signal Compression
Author: Allen Gersho, Robert Gray
School: National Open University of Nigeria
Department: Science and Technology
Course Code: CIT891
Topics: Vector Quantization, Signal Compression, random proocesses, linear systems, probability, sampling, periodic sampling, linear prediction, Elementary Estimation Theory, Finite-Memory Linear Prediction, Levinson-Durbin Algorithm, Minimum Delay Property, scalar coding, Scalar Quantization, Predictive Quantization, Delta Modulation, Difference Quantization, Bit Allocation, Transform Coding, Karhunen-Loeve Transform, Performance Gain of Transform Coding, entropy coding, Variable-Length Scalar Noiseless Coding, huffman coding, Vector Entropy Coding, Ziv-Lempel Coding, Constrained Vector Quantization, Predictive Vector Quantization, Finite-State Vector Quantization, Tree and Trellis Encoding, Adaptive Vector Quantization, Variable Rate Vector Quantization
Author: ARAGA ABDULLAHI SHEIDU, SUFIAN JELILI
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: BUS729
Topics: Business Mathematics, SetS, Subsets, Set Operations, Set of Numbers, Functions, Annuity, Cash Flow, Sinking Fund, Mathematical Programming, Linear Programming, Definite Integral, Indefinite Integral, Transcendental functions, Integration, Trigonometric functions, Mathematical Tools, Simultaneous Equations, Linear Functions, Linear Inequalities, Matrix Algebra, Probability Theory
Author: GeorgeThomas, Joel Hass, Christopher Heil, Maurice Weir
School: University of Ilorin
Department: Science and Technology
Course Code: MAT112
Topics: Calculus, Trigonometric Functions, functions, limits, continuity, One-Sided Limits, Differentiation Rules, Derivatives, chain rule, implict differentiation, related rates, linearization, differentials, Mean Value Theorem, integrals, Monotonic Functions, First Derivative Test, Concavity, Curve Sketching, Applied Optimization, antiderivatives, Sigma Notation, limits of Finite Sums, Definite integral, Transcendental Functions, inverse functions, natural logarithms, exponential functions, exponential change, seperable differential equation, Indeterminate Form, L’Hôpital’s Rule, Inverse Trigonometric Functions, Hyperbolic Functions, Integration by Parts, integration, trigonometric integrals, trigonometric substitution, Integral Tables, Computer Algebra Systems, probability, numerical integration, improper integrals, probability, First-Order Differential Equations, Slope Fields, Euler’s Method, First-Order Linear Equations, Infinite Sequences, infinite Series, integral test, comparison test, absolute convergence, power series, alternating series, Taylor series, Maclaurin series, Parametric Equations, Polar Coordinates, Conic Sections, vector, Partial Derivatives, Lagrange Multipliers, Multiple Integrals, vector fields, Path Independence, Conservative Fields, Potential Functions, Green’s Theorem, Surface Integrals, Stokes Theorem, Divergence Theorem
Departments
Administration, Social and Management science
Agriculture and Veterinary Medicine
Arts and Humanities
Education
Engineering
General studies
Law
Medical, Pharmaceutical and Health science
Science and Technology