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  2. Porosity - Wikipedia

    en.wikipedia.org/wiki/Porosity

    Porosity or void fraction is a measure of the void (i.e. "empty") spaces in a material, and is a fraction of the volume of voids over the total volume, between 0 and 1, or as a percentage between 0% and 100%.

  3. Linear programming - Wikipedia

    en.wikipedia.org/wiki/Linear_programming

    A covering LP is a linear program of the form: Minimize: b T y, subject to: A T y ≥ c, y ≥ 0, such that the matrix A and the vectors b and c are non-negative. The dual of a covering LP is a packing LP, a linear program of the form: Maximize: c T x, subject to: Ax ≤ b, x ≥ 0, such that the matrix A and the vectors b and c are non-negative.

  4. Successive linear programming - Wikipedia

    en.wikipedia.org/wiki/Successive_linear_programming

    Successive Linear Programming (SLP), also known as Sequential Linear Programming, is an optimization technique for approximately solving nonlinear optimization problems. [1] It is related to, but distinct from, quasi-Newton methods .

  5. Configuration linear program - Wikipedia

    en.wikipedia.org/wiki/Configuration_linear_program

    In other words, each configuration can be used a fractional number of times. The relaxation was first presented by Gilmore and Gomory, [2] and it is often called the Gilmore-Gomory linear program. [8] Example: suppose there are 31 items of size 3 and 7 items of size 4, and the bin-size is 10. The configurations are: 4, 44, 34, 334, 3, 33, 333.

  6. Gas porosity - Wikipedia

    en.wikipedia.org/wiki/Gas_porosity

    Gas porosity is the fraction of a rock or sediment filled with a gas.. Determining the true porosity of a gas filled formation has always been a problem in the oil industry. . While natural gas is a hydrocarbon, similar to oil, the physical properties of the fluids are very different, making it very hard to correctly quantify the total amount of gas in a formati

  7. Multi-objective linear programming - Wikipedia

    en.wikipedia.org/wiki/Multi-objective_linear...

    This term is misleading because a single efficient point can be already obtained by solving one linear program, such as the linear program with the same feasible set and the objective function being the sum of the objectives of MOLP. [4] More recent references consider outcome set based solution concepts [5] and corresponding algorithms.

  8. Linear least squares - Wikipedia

    en.wikipedia.org/wiki/Linear_least_squares

    Mathematically, linear least squares is the problem of approximately solving an overdetermined system of linear equations A x = b, where b is not an element of the column space of the matrix A. The approximate solution is realized as an exact solution to A x = b', where b' is the projection of b onto the column space of A. The best ...

  9. Atterberg limits - Wikipedia

    en.wikipedia.org/wiki/Atterberg_limits

    The Atterberg limits are a basic measure of the critical water contents of a fine-grained soil: its shrinkage limit, plastic limit, and liquid limit.. Depending on its water content, soil may appear in one of four states: solid, semi-solid, plastic and liquid.