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Writing and Reading Spreadsheet Files:
The MATLAB functions xlswrite & xlsread will write to and read from the spreadsheet files which have the extension .xls. For illustration, the below will generate a 5 × 3 matrix of arbitrary integers, and then write it to a spreadsheet file known as the 'ranexcel.xls' which has five rows and three columns:
>> ranmat = randint(5,3,[1 100])
ranmat =
96 77 62
24 46 80
61 2 93
49 83 74
90 45 18
>> xlswrite('ranexcel',ranmat)
Differentiation: The derivative of a function y = f(x) can be written as follows or f '(x) and is defined as the rate of change of the dependent variable y with respe
Program of built-in factorial function: Calling this function yields similar result as the built-in factorial function: >> fact(5) ans = 120 >> factorial(
Built-in functions for Complex numbers: We know that in MATLAB both i and j are built-in functions which return √-1 (therefore, they can be thought of as built-in constants).
Strings as matrix: The matrix can be generated, that consists of strings in each row. Therefore, essentially it is created as a column vector of strings, but the final result
Illustration of a recursive function: illustration is of a recursive function which does not return anything, but simply prints. The below function prtwords receives a sentenc
Use of logical vector: Determine how many elements in the vector vec were greater than 5, the sum function can be used on the resulting vector isg: >> sum(isg) ans =
Built-in function for Differentiation: The MATLAB has a built-in function, diff that returns the differences between consecutive elements in a vector. For illustration, >>
Function xlsread - file function: The function xlsread will read from the spreadsheet file. For illustration, to read from file just generated: >> ssnums = xlsread('ranexc
Illustration of Logical vectors: Calling the function appears to return similar vector as simply vec > 5, and summing the result still works to determine how many elements wer
This project requires you to use the ideas of Chapter 25 regarding maximization of a function. Here we assume that evolution has acted to generate highly efficient foragers. By hig
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