VisualLab
 VisualLab makes computations | |
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| Website | www |
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VisualLab (New mathematics software)
VisualLab is a format-free (syntax-free) numerical analysis and computer algebra system or program, for computations of mathematics in fields of science, technology, engineering as well as mathematics and education.[1] Unique features include a blank math sheet; one inputs equations or mathematical expressions on the sheet as in a notebook; click “Solve” button to obtain solutions. Users can carry out mathematical computations without any prior knowledge about computation programming algorithms and/or software commands, usually specific to a given software program. VisualLab is a constraints-based computational environment;[2] artificial intelligence and understanding of the text in terms of mathematics constitute the constraints required for its computations.
Different from conventional numerical analysis and computer algebra systems,[3][4][5] VisualLab executes commands required by the text on the math sheet as a block, rather than line by line. There is no need to declare variables, and VisualLab accepts Greek letters as well. For example, to solve a system of three linear equations with 3 variables α, y3 and zk, a math expression of 9 - 2x3/(4-2) + (3-2) 2, a transcendental equation of x, and a polynomial of y:
3α+4y3+5zk=8 3 =2*α+4zk+3y3 α+y3= zk-5 9-2*3/(4-2)+(3-2)^2 sin(x) + x=1 2y^3 - 4y + y^2 +2 =0
One simply types in or copy pastes the above equations to the math sheet, clicks “Solve” button, and VisualLab straightforwardly and instantly returns solutions:
9 - 2*3/(4-2) + (3-2)^2 = 7 α = 17 y3 = -17 zk = 5 x = 0.5109735 y1 = -1.862288 y2 = 0.6811442 - 0.2702154 i y3 = 0.6811442 + 0.2702154 i
VisualLab covers most areas of mathematics including statistics, calculus, differential equations and matrix computations.
See also
- Mathematical software
- Numerical analysis
- Numerical analysis software
- Computer algebra systems
- Formula calculator
References
- ↑ * "VisualLab homepage".
- ↑ * Rossi, F; Van Beek, P; Walsh, T. "Handbook of Constraint Programming". Elsevier. ISBN 978-0-444-52726-4.
- ↑ * Young, Todd; Mohlenkamp, Martin. "Introduction to Numerical Methods and Matlab Programming for Engineers" (PDF).
- ↑ * Xu, Annong (2010). "Introduction to Scientific Computing: Numerical Analysis With Mathematica". China Machine Press.
- ↑ * Bradie, Brian; Baker, Barbara; Packer, Arnold (2005). "An Introduction to Numerical Analysis". Pearson Education. ISBN 0131911716.
External links
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