Library / Foundational Thinking DPF Suite Reference
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2. What this Suite connects

Knowing a formula can leave its use unresolved. A mathematically valid calculation can concern the wrong objects. A computation can return a value after the opportunity to act has passed. The Suite develops ways to locate and repair such difficulties while retaining the contributions that still work.

ContributionThe work it doesWhat another contribution can use
Mathematical ThinkingConstruct objects and operations; establish consequences; compare and change constructions.An object with usable maps, an interpreted expression, an argument, a witness, an obstruction or a qualified approximation.
Physical ThinkingIdentify relevant phenomena, preparation, interactions and constraints; develop and challenge an account of what can happen.Physical premises, possible changes, a distinguishing observation or a limit on realization.
Computational ThinkingConstruct, understand, analyze and transform algorithms within computer science, including their semantics and interaction.An algorithm, its representation and correctness, progress and resource conditions, or a limit that changes the requested answer or available operations.
Mathematical ModelingFormulate how the subject question, supported relations, unknowns and observations enter mathematics.A mathematical question whose answer has a stated use in the subject, with the conditions and losses of that use.
Notational EngineeringDevelop expressions and interpretation through which participants can recognize and perform the needed operations.A usable notation, correspondences between representations and the preparation their readers need.

Section 5 describes the current repertoire. Choose a method by the contribution the working question needs; combining methods adds value when one result supplies what another requires.

Methodology connects the contributions to ways of working. A mathematical construction can describe how operations combine. A physical or computational result can make a different working arrangement possible. Method Engineering then helps construct or change that arrangement, including its observation, action and division of work.

There are two connected questions throughout. How is a claim obtained and warranted? How can its obtaining method and result be used, taught, distributed, changed and continued? Mathematical assumptions, physical premises and computational resource claims need their respective grounds. Their interaction makes a useful inquiry possible; none of the three is recovered merely by relabeling the others.

Here foundational means helping enter and develop problems across branches of these fields. A method’s conditions still matter: a symmetry method needs a relevant transformation, for example. Further theoretical inquiry can itself be a useful continuation. A problem need not have an immediate commercial application to open a consequential new line of work.