Algorithms: Design Techniques and Analysis (Lecture Notes Series on Computing) (Lecture Notes Computing)

problem Solving Is An Essential Part Of Every Scientific Discipline. It Has Two Components: (1) Problem Identification And Formulation, And (2) Solution Of The Formulated Problem. One Can Solve A Problem On Its Own Using Ad Hoc Techniques Or Follow Those Techniques That Have Produced Efficient Solutions To Similar Problems. This Requires The Understanding Of Various Algorithm Design Techniques, How And When To Use Them To Formulate Solutions And The Context Appropriate For Each Of Them. This Book Advocates The Study Of Algorithm Design Techniques By Presenting Most Of The Useful Algorithm Design Techniques And Illustrating Them Through Numerous Examples. Annotation. Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) solution of the formulated problem. One can solve a problem on its own using ad hoc techniques or follow those techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm design techniques, how and when to use them to formulate solutions and the context appropriate for each of them. This book advocates the study of algorithm design techniques by presenting most of the useful algorithm design techniques and illustrating them through numerous examples The most general intuitive idea of an algorithm * is a procedure that consists of a finite set of instructions which, given an input from some set of possible inputs, enables us to obtain an output if such an output exists or else obtain nothing at all if there is no output for that particular input through a systematic execution of the instructions.