Identifying Errors In Algorithm Books
Introduction to the design and analysis of algorithms ,3rd edition
Author: Anany Levitin, Soumen Mukherjee, Arup Kumar Bhattacharjee
School: University of Ibadan
Department: Science and Technology
Course Code: CSC242
Topics: algorithm design, algorithm analysis, Algorithm Efficiency, Algorithm Efficiency analysis, Brute Force, Exhaustive Search, Decrease-and-Conquer, Divide-and-Conquer, Transform-and-Conquer, Space and Time Trade-Offs, Dynamic Programming, Greedy Technique, Iterative Improvement, Algorithm Power, Algorithmic Problem Solving, Nonrecursive Algorithms mathematical analysis, recursive Algorithms mathematical analysis, Selection Sort, Bubble Sort, Sequential Search, Brute-Force String Matching, Closest-Pair Problems, Convex-Hull Problems, depth-First Search, Breadth-First Search, Insertion Sort, Topological Sorting, Variable-Size-Decrease Algorithms, Decrease-by-a-Constant-Factor Algorithms, binary search, Mergesort, quicksort, Binary Tree Traversals, Strassen’s Matrix Multiplication, Gaussian Elimination, presorting, Balanced Search Trees, Heaps, Heapsort, Horner’s Rule, Binary Exponentiation, Problem Reduction, B-Trees, hashing, Knapsack Problem, Optimal Binary Search Trees, Warshall’s Algorithm, Floyd’s Algorithm, Prim’s Algorithm, Kruskal’s Algorithm, Dijkstra’s Algorithm, Huffman Trees, huffman Codes, Simplex Method, Maximum-Flow Problem, Stable Marriage Problem, Lower-Bound Arguments, Decision Trees, Numerical Algorithms, Backtracking, Approximation Algorithms
Author: Solomon Olalekan Akinola
School: University of Ibadan
Department: Science and Technology
Course Code: CSC236
Topics: Algorithm Design, Algorithm Analysis, Algorithm, Problem Solving Techniques, Recursion, Recursive Fibonacci Series, Sorting Techniques, Sorting Techniques, Searching Techniques, Linear Search, Sequential Search, Runtime Analysis, Big ‘O’ Notation, O-Notation, Insertion Sort, Divide and Conquer Algorithm, Merge Sort Algorithm, Quicksort Algorithm, Partitioning, Recursion-Tree Method, Master Theorem, Master method
Introduction to the design and analysis of algorithms ,3rd edition solutions manual
Author: Thomas Cormen, Charles Leiserson, Ronald Rivest, Clifford Stein
School: University of Ibadan
Department: Science and Technology
Course Code: CSC242
Topics: algorithm design, algorithm analysis, Algorithm Efficiency, Algorithm Efficiency analysis, Brute Force, Exhaustive Search, Decrease-and-Conquer, Divide-and-Conquer, Transform-and-Conquer, Space and Time Trade-Offs, Dynamic Programming, Greedy Technique, Iterative Improvement, Algorithm Power
Introduction to Algorithms, 3rd Edition
Author: Thomas Cormen, Charles Leiserson, Ronald Rivest, Clifford Stein
School: University of Ibadan
Department: Science and Technology
Course Code: CSC242
Topics: Algorithms, Insertion sort, analyzing Algorithms, designing Algorithms, growth of functions, asymptotic notation, maximum-subarray problem, Strassen’s algorithm, Probabilistic Analysis, Randomized Algorithms, hiring problem, Indicator random variables, Heapsort, heaps, heapsort algorithm, Priority queues, quicksort, Radix sort, Counting sort, Bucket sort, Data Structures, Hash Tables, has function, open addressing, Perfect hashing, Data Structures, sorting order statistics, Binary Search Trees, Red-Black Trees, Augmenting Data Structures, Dynamic Programming, Greedy Algorithms, Amortized Analysis, B-Trees, Fibonacci Heaps, van Emde Boas Trees, Graph Algorithms, Minimum Spanning Trees, Single-Source Shortest Paths, All-Pairs Shortest Path, maximum flow, Multithreaded Algorithms, Matrix Operations, linear programming, polynomials, Number-Theoretic Algorithms, String Matching, Computational Geometry, NP-Completeness, Polynomial time, Approximation Algorithms
Algorithm and Application Software
Author: FUNAAB
School: Federal University of Agriculture, Abeokuta
Department: Science and Technology
Course Code: CSC211
Topics: algorithm, program, algorithm analysis, Basic flowchart shapes, algorithm structure, application software, Microsoft access
Algorithm and complexity analysis
Author: David Acheme
School: Edo University
Department: Science and Technology
Course Code: CSC214
Topics: Algorithm, Algorithm complexity analysis, arrays, iteration, invariants, Linked List Data Structure, Queue Data Structure, queue operations, stacks
A Practical Introduction to Data Structures and Algorithm Analysis, Third Edition
Author: Clifford Shaffer
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: CSC305
Topics: Data Structures, Algorithm Analysis, Logarithms, Summations, Summations, Recurrences, recursion, Algorithm Analysis, Asymptotic Analysis, Fundamental Data Structures, Binary Trees, Binary Tree Traversals, Binary Tree Node Implementations, Binary Search Trees, Huffman Coding Trees, Non-Binary Trees, sorting, searching, internal sorting, shellsort, heapsort, File Processing, External Sorting, searching, hashing, indexing, Advanced Data Structures, graphs, Advanced Tree Structures
Author: Ellis Horowitz, Sartaj Sahni, Sanguthevar Rajasekaran
School: Edo University
Department: Science and Technology
Course Code: CMP315
Topics: Computer Algorithms, pseudocode conventions, recursive algorithms, performance analysis, randomized algorithms, primality testing, elementary data structures, binary search trees, cost amortization, prority queues, sets, graphs, graph representation, merge sort, quick sort, Strassen's matrix multiplication, convex hull, greedy method, knapsack problem, tree vertex splitting, prim's algorithm, dynamic programming, reliability design, backtracking, graph coloring, least cost search, algebraic problems, fast Fourier transform, lower bound theory, comparison trees, ordered searching, Cook's theorem, approximation algorithms, absolute algorithms, polynomial time approximation schemes, mesh algorithms, packet routing, hyper algorithms, PPR routing
Cambridge IGCSE and O level Computer Science, 2nd Edition
Author: David Watson, Helen Williams
School: International Exams
Department:
Course Code: IGCSE
Topics: Data representation, computer, Number systems, data storage, file compression, Data transmission, error detection, symmetric encryption, asymmetric encryption, Hardware, computer architecture, input devices, output devices, network hardware, software, programming language, translators, internet, digital currency, cyber security, automated systems, robotics, artificial intelligence, Algorithm design, problem solving, program development life cycle, computer systems, computer decomposition, test data, identifying errors in algorithm, writing algorithms, amending algorithms, programming, arrays, file handling, Database, Boolean logic, standard logic gate symbols, logic circuits, logic expression, truth tables, problem statements
Applied Numerical Methods with MATLAB, 4th edition
Author: Steven Chapra
School: Edo University
Department: Engineering
Course Code: GEE216
Topics: Numerical Methods, mathematical modeling, MATLAB, mathematical operations, structured programming, errors, roundoff errors, truncation errors, total numerical errors, blunders, model errors, data uncertainty, roots, graphical methods, bracketing methods, bisection, roots, Simple Fixed-Point Iteration, Newton-Raphson, secant methods, Brent's method, MATLAB functions, optimization, linear systems, linear algebraic equations, matrices, Gauss elimination, Naive gauss elimination, tridiagonal systems, LU factorization, matrix inverse, system condition, error analysis, iterative methods, linear systems, nonlinear systems, Eugen values, power method, curve fitting, linear regression, random numbers, linear least-squares regression, polynomial regression, multiple linear regression, QR factorization, nonlinear regression, Fourier analysis, Continuous Fourier series, frequency domain, time domain, Fourier integral, Fourier transform, Discrete Fourier transform, power spectrum, polynomial interpolation, Newton interpolating polynomial, Lagrange interpolating polynomial, inverse interpolation, extrapolation, oscillations, splines, linear splines, quadratic splines, cubic spline, multidimensional interpolation, integration, differentiation, Numerical integration formulas, Newton-Cotes formulas, Trapezoidal rule, Simpson's rules, initial value problem, Runge-Kutta methods, adaptive Runge-Kutta methods, stiff systems, Boundary-value problems, shooting method, finite-difference methods, MATLAB function
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