Numerical analysis is the study of

Numerical analysis is the study of algorithms that use numerical approximation (as opposed to general symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics).

One of the earliest mathematical writings is a Babylonian tablet from the Yale Babylonian Collection (YBC 7289), which gives a sexagesimal numerical approximation of sqrt{2}, the length of the diagonal in a unit square. Being able to compute the sides of a triangle (and hence, being able to compute square roots) is extremely important, for instance, in astronomy, carpentry and construction.[2]

Numerical analysis continues this long tradition of practical mathematical calculations. Much like the Babylonian approximation of sqrt{2}, modern numerical analysis does not seek exact answers, because exact answers are often impossible to obtain in practice. Instead, much of numerical analysis is concerned with obtaining approximate solutions while maintaining reasonable bounds on errors.

Numerical analysis naturally finds applications in all fields of engineering and the physical sciences, but in the 21st century also the life sciences and even the arts have adopted elements of scientific computations. Ordinary differential equations appear in celestial mechanics (planets, stars and galaxies); numerical linear algebra is important for data analysis; stochastic differential equations and Markov chains are essential in simulating living cells for medicine and biology.

Before the advent of modern computers numerical methods often depended on hand interpolation in large printed tables. Since the mid 20th century, computers calculate the required functions instead. These same interpolation formulas nevertheless continue to be used as part of the software algorithms for solving differential equations.

ผลลัพธ์ (อังกฤษ) 2:

Numerical analysis is The Study of algorithms that Use Numerical Approximation (As opposed to general Symbolic manipulations) for The problems of mathematical analysis (As distinguished from discrete mathematics). One of The Earliest mathematical writings is a Babylonian Tablet from The Yale Babylonian Collection (YBC. 7289), which gives a sexagesimal numerical approximation of sqrt {2}, the length of the diagonal in a unit square. Being Able to Compute The sides of a Triangle (and hence, being Able to Compute Square Roots) is extremely important, for instance, in astronomy, Carpentry and Construction. [2] Numerical analysis Continues Tradition of Practical mathematical Calculations this long. Much like the Babylonian approximation of sqrt {2}, modern numerical analysis does not seek exact answers, because exact answers are often impossible to obtain in practice. Instead, much of Numerical analysis is Concerned with obtaining APPROXIMATE Solutions while maintaining Reasonable Bounds on Errors. Numerical analysis Naturally Finds Applications in all Fields of Engineering and The physical Sciences, but in The 21st Century also The Life Sciences and Even The Arts Have adopted Elements. of scientific computations. Ordinary differential equations appear in celestial mechanics (planets, stars and galaxies); numerical linear algebra is important for data analysis; stochastic differential Equations and Markov Chains are Essential in simulating Living cells for Medicine and Biology. Before The Advent of Modern Computers Numerical interpolation methods often depended on Hand Printed in Large Tables. Since the mid 20th century, computers calculate the required functions instead. These same interpolation formulas nevertheless continue to be used as part of the software algorithms for solving differential equations.

ผลลัพธ์ (อังกฤษ) 3:

Numerical analysis is the study of algorithms that use numerical approximation (as opposed to general symbolic manipulations). For the problems of mathematical analysis (as distinguished from Discrete Mathematics).

One of the earliest mathematical. Writings is a Babylonian tablet from the Yale Babylonian Collection (YBC 7289), which gives a sexagesimal numerical approximation. Of. Sqrt 2}, {The length of the diagonal in a unit square. Being able to compute the sides of a triangle (and hence being able, to compute. Square roots) is extremely, instance important for, astronomy carpentry in, and construction. [2]

Numerical analysis continues. This long tradition of practical mathematical calculations. Much like the Babylonian approximation of. Sqrt 2}, {Modern numerical analysis does not seek exact answers because exact, answers are often impossible to obtain in, practice. Instead much of, numerical analysis is concerned with obtaining approximate solutions while maintaining reasonable bounds. On errors.

Numerical analysis naturally finds applications in all fields of engineering and the, physical sciencesBut in the 21st century also the life sciences and even the arts have adopted elements of scientific computations. Ordinary. Differential equations appear in celestial mechanics (planets stars and, galaxies); numerical linear algebra is important. For data analysis; stochastic differential equations and Markov chains are essential in simulating living cells for medicine. And biology.

.Before the advent of modern computers numerical methods often depended on hand interpolation in large printed tables. Since. The mid, 20th century computers calculate the required functions instead. These same interpolation formulas nevertheless. Continue to be used as part of the software algorithms for solving differential equations.