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Computational Physics ( Lecture 9)

Computational Physics ( Lecture 9)

Computational Physics ( Lecture 9). PHY4370. Quadratic form. A quadratic form is simply a scalar, quadratic function of a vector with the form A is the matrix, x and b are vectors, c is a scalar constant. If A is symmetric and positive definite, f(x) is minimized by the solution to Ax=b.

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540 views • 42 slides
Computational Physics (Lecture 13)

Computational Physics (Lecture 13)

Computational Physics (Lecture 13) . PHY4370. The shooting method. A simple method for boundary and eigen value problems. F irst convert the second-order differential equation into two first-order differential equations

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452 views • 33 slides
Computational Physics (Lecture 13)

Computational Physics (Lecture 13)

Computational Physics (Lecture 13) . PHY4061. The shooting method. A simple method for boundary and eigen value problems. F irst convert the second-order differential equation into two first-order differential equations

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294 views • 29 slides
Computational Physics (Lecture 4)

Computational Physics (Lecture 4)

Computational Physics (Lecture 4) . PHY4370. Random Variable, density function and distribution function. Random Variable: Value is not predetermined, but the value distribution is known. (Probability of each value is known. P(a ? x ? b)= , f(x) is the distribution density function.

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354 views • 28 slides
Computational Physics (Lecture 4)

Computational Physics (Lecture 4)

Computational Physics (Lecture 4) . PHY4061. Random Variable, density function and distribution function. Random Variable: Value is not predetermined, but the value distribution is known. (Probability of each value is known. P(a ? x ? b)= f (x) is the distribution density function.

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284 views • 28 slides

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