# Algorithm Design & Analysis For Problem Solving 1.0 APK

1.0 / June 18, 2018

## Description

In life we are faced with a lot of problems. Sometimes theproblemsare simple and easy to solve but in a lot of other casestheproblems are of mathematical type. We need to solve the problemsinorder to come to a solution. This is where algorithms comehandy.By using algorithms we know how to divide the complexproblems intosmall parts and solve them efficiently. In thisapplication youwill be seeing different types of algorithms whichwill help you insolving different types of mathematical problems.Intheoreticalanalysis of algorithms, it is common to estimate theircomplexityin the asymptotic sense, i.e., to estimate the complexityfunctionfor arbitrarily large input. The term "analysis ofalgorithms"wascoined by Donald Knuth.Algorithm analysis is animportant part ofcomputational complexity theory, which providestheoreticalestimation for the required resources of an algorithm tosolve aspecific computational problem. Most algorithms are designedtowork with inputs of arbitrary length. Analysis of algorithms isthedetermination of the amount of time and space resources requiredtoexecute it.Usually, the efficiency or running time of analgorithmis stated as a function relating the input length to thenumber ofsteps, known as time complexity, or volume of memory,known asspace complexity.The various topics that you will find inthisapplication are as follows.Chapter: BASICS OFALGORITHMS1)INTRODUCTION2) ANALYSIS OF ALGORITHMS 3) METHODOLOGY OFANALYSIS4)ASYMPTOTIC NOTATIONS & APRIORI ANALYSIS5)SPACECOMPLEXITIESChapter : DESIGN STRATEGIES6) DIVIDE &CONQUER7 )MAX-MIN PROBLEM8 ) MERGE SORT9 ) BINARY SEARCH10)STRASSEN’S MATRIXMULTIPLICATION11) GREEDY METHOD12 ) FRACTIONALKNAPSACK13 ) JOBSEQUENCING WITH DEADLINE14 ) OPTIMAL MERGEPATTERN15 ) DYNAMICPROGRAMMING16 )KNAPSACK17 )LONGEST COMMONSUBSEQUENCEChapter: GRAPHTHEORY18) SPANNING TREE19) SHORTEST PATHS20) MULTISTAGE GRAPH21)TRAVELLING SALESMAN PROBLEM22) OPTIMAL COSTBINARY SEARCHTREESChapter: HEAP ALGORITHMS23) BINARY HEAP24) INSERTMETHOD25)HEAPIFY METHOD26) EXTRACT METHODChapter SORTING METHODS27)BUBBLESORT28) INSERTION SORT29) SELECTION SORT30) QUICK SORT31)RADIXSORTChapter: COMPLEXITY THEORY32) DETERMINISTICVS.NONDETERMINISTIC COMPUTATIONS33) MAX CLIQUES34) VERTEX COVER35)PAND NP CLASS36) COOK’S THEOREM37) NP HARD &NP-COMPLETECLASSES38) HILL CLIMBING ALGORITHMBy considering analgorithm for aspecific problem, we can begin to develop patternrecognition sothat similar types of problems can be solved by thehelp of thisalgorithm.Algorithms are often quite different from oneanother,though the objective of these algorithms is the same. Forexample,we know that a set of numbers can be sorted usingdifferentalgorithms. Number of comparisons performed by onealgorithm mayvary with others for the same input. Hence, timecomplexity ofthose algorithms may differ. At the same time, we needto calculatethe memory space required by each algorithm.We expectfeedback fromour users as it helps us improve our application. Alsopleaseprovide us with rating and please share the application withyourfriends and relatives.

## App Information Algorithm Design & Analysis For Problem Solving

• App Name
Algorithm Design & Analysis For Problem Solving
• Package Name
com.dhavaldev.AlgorithmDesignAndAnalysis
• Updated
June 18, 2018
• File Size
5.0M
• Requires Android
Android 4.0.3 and up
• Version
1.0
• Developer
dhaval rupera
• Installs
50+
• Price
Free
• Category
Education
• Developer

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