Numerical Methods in Engineering with Python 3

Numerical Methods in Engineering with Python 3

Jaan Kiusalaas

Language: English

Pages: 432

ISBN: 1107033853

Format: PDF / Kindle (mobi) / ePub

This book is an introduction to numerical methods for students in engineering. It covers the usual topics found in an engineering course: solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems, and optimization. The algorithms are implemented in Python 3, a high-level programming language that rivals MATLAB® in readability and ease of use. All methods include programs showing how the computer code is utilized in the solution of problems. The book is based on Numerical Methods in Engineering with Python, which used Python 2. This new text demonstrates the use of Python 3 and includes an introduction to the Python plotting package Matplotlib. This comprehensive book is enhanced by the addition of numerous examples and problems throughout.

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Be solved by back substitution, which starts with the last equation and proceeds backward through the equations. The equations LUx = b, which are associated with LU decomposition, can also be solved quickly if we replace them with two sets of equivalent equations: Ly = b and Ux = y. Now Ly = b can be solved for y by forward substitution, followed by the solution of Ux = y by means of back substitution. The equations Ix = c, which are produced by Gauss–Jordan elimination, are equivalent to x = c.

Applications that put a premium on stabiliy (e.g., solution of eigenvalue problems). The singular value decomposition is useful in dealing with singular or illconditioned matrices. Here the factorization is A = UΛVT where U and V are orthogonal matrices and  λ1 0 0 λ  2 Λ= 0 0  .. .. . . 0 0 λ3 .. .  ··· · · ·   · · ·  .. . 102 Systems of Linear Algebraic Equations is a diagonal matrix. The elements λi of Λ can be shown to be positive or zero. If A is symmetric and positive.

The rocket reaches the speed of sound (335 m/s). 20. P P2 T2 Heating at constant volume P1 Isothermal expansion T T1 Volume reduced 2 by cooling V V1 V2 The figure shows the thermodynamic cycle of an engine. The efficiency of this engine for monoatomic gas is η= ln(T2 /T1 ) − (1 − T1 /T2 ) ln(T2 /T1 ) + (1 − T1 /T2 )/(γ − 1) where T is the absolute temperature and γ = 5/3. Find T2 /T1 that results in 30% efficiency (η = 0.3). 21. Gibb’s free energy of one mole of hydrogen at temperature T.

−x3 − 2x2 + 8x + 27 contains a single sign change; hence P3 (x) possesses one negative real zero. The real zeros of polynomials with real coefficients can always be computed by one of the methods already described. But if complex roots are to be computed, it is best to use a method that specializes in polynomials. Here we present a method due to Laguerre, which is reliable and simple to implement. Before proceeding to Laguerre’s method, we must first develop two numerical tools that are needed in.

Elements: >>> from numarray import array,Float >>> a = array([[2.0, -1.0],[-1.0, 3.0]]) >>> print a [[ 2. -1.] [-1. 3.]] >>> b = array([[2, -1],[-1, 3]],type = Float) >>> print b [[ 2. -1.] [-1. 3.]] Other available functions are zeros((dim1,dim2),type = type specification) which creates a dim1 × dim2 array and fills it with zeroes, and ones((dim1,dim2),type = type specification) which fills the array with ones. The default type in both cases is Int. Finally, there is the function.

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