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  2. 25 Great Resume Templates For All Jobs - AOL

    www.aol.com/news/2014-08-27-great-resume...

    We've all scoured the internet for "resume examples" or "resume templates", but let's face it, usually the sample resumes you find are too generic, not appropriate for your field, impossible to ...

  3. Conservative vector field - Wikipedia

    en.wikipedia.org/wiki/Conservative_vector_field

    In vector calculus, a conservative vector field is a vector field that is the gradient of some function. [1] A conservative vector field has the property that its line integral is path independent; the choice of path between two points does not change the value of the line integral.

  4. Gradient theorem - Wikipedia

    en.wikipedia.org/wiki/Gradient_theorem

    The gradient theorem states that if the vector field F is the gradient of some scalar-valued function (i.e., if F is conservative), then F is a path-independent vector field (i.e., the integral of F over some piecewise-differentiable curve is dependent only on end points). This theorem has a powerful converse:

  5. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    An example of a résumé with a common format with the name John Doe. A résumé or resume (or alternatively resumé), [a] [1] is a document created and used by a person to present their background, skills, and accomplishments. Résumés can be used for a variety of reasons, but most often are used to secure new jobs, whether in the same ...

  6. Scale invariance - Wikipedia

    en.wikipedia.org/wiki/Scale_invariance

    Another example of a scale-invariant classical field theory is the massless scalar field (note that the name scalar is unrelated to scale invariance). The scalar field, φ(x, t) is a function of a set of spatial variables, x, and a time variable, t. Consider first the linear theory.

  7. AMPL - Wikipedia

    en.wikipedia.org/wiki/AMPL

    AMPL features a mix of declarative and imperative programming styles. Formulating optimization models occurs via declarative language elements such as sets, scalar and multidimensional parameters, decision variables, objectives and constraints, which allow for concise description of most problems in the domain of mathematical optimization.

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