How can one increase their productivity?

    Working to hard?Work smarter! Set a well defined goal/objective. Many Engineers & Scientists are working on projects without knowing what their project goal(s) are or should be. Ask your management for departmental and company goals. Be sure that -all- your company management agree on these goals. Once you have agreement on these goals, your tasks will be clearer and quicker to achieve.
    Return-on-Investment (ROI) is often a company president's goal. This is often assumed and not stated to all employees. Company presidents need to clarify their goal to all their employees if they plan on achieving them. For example, maximize ROI this year or this quarter or this product line. Once set at the top of management, check with the new employees to see if the goal has worked its way to them.
    Calculus-level languages are the next generation of software. These languages require an objective (function) in order to achieve an optimal solution. This web site has several example problems with solutions to help you see the simplicity of using Calculus (level) languages. These examples and demos go from first principles to a solution with a minimum amount of computer code. Most problems are solved in a day! Would solving your math problems (e.g. simulations problems) in less than 8 hours increase your productivity?
    Reduce Problem-Solving Time for solution
    Remember having a goal/objective is required in order to maximize your productivity when solving computer problems with Calculus-level languages. Calculus-level programming of math problems often show a 90% reduction in time and solutions are optimal.

Calculus-level Problem Solving
_________________

    Calculus level computer languages are Fortran Calculus and PROSE. Both languages are based on what is called "Automatic Differentiation" (AD). Calculus languages simplify computer coding to an absolute minimum; i.e., a mathematical model, constraints, and the objective function. Minimizing the amount of code allows the user to concentrate on the science or engineering problem at hand and not on the (numerical) process requirements to achieve an optimum solution.
    Major benefits from AD based software:
    • Determines Optimal solutions
    • Allows Rapid Model Prototyping
    • Accelerates Problem "Understanding"
    • Increases Engineering Output and Quality
    • Reduces Time & Costly Problem / Solution Cycle
Fundamentals (R&D)
fundamental (R&D) optimization
    Fortran Calculus was designed to solve implicit problems. Implicit problems are abundant in every branch of science and technology. Simulation programs can be elevated to optimization programs by using the FIND statements. An example circuit simulation program was converted and showed a 90% reduction in development time. Simulation conversions seem to have the most to gain besides those problems that can only be solved with this tool. PDEs, ODEs, and Algebraic equations can be solved.
    For cost savings, optimum solutions, and increased engineering output, consider Calculus Programming.

For consulting or seminar information, E-mail us at

Increase Scientific & Engineering Productivity

Allows Rapid Prototyping for Adaptive Engineering

        Basic, Fortran, MACSYMA, etc.  vs.   Calculus Programming


  Engineering:     Quickly Frozen       Adaptive
  Source Code:         Large             Small
  Cost:                High              Low
  Delay:               Long              Short

Problem-Solving Applications include:

CurvFit: a curve fitting program with Lorentzian, Sine, Exponential and Power series are available models to match your data.

ODEcalc: an Ordinary Differential Equation Calculator! Solves BVP & IVP.

Match-n-Freq: a Matched Filter program used to filter signals and slim pulses.

Industry Problem-Solving Descriptions include:

Electrical Filter Design: find the transfer function's poles & zeros; H(s) = Yout(s) / Yin(s).

Pulse Slimming to minimize InterSymbol Interference: via Arbitrary Equalization with Simple LC Structures to reduce errors.

Voice Coil Motor: basically an electromagnetic transducer in which a coil placed in a magnetic pole gap experiences a force proportional to the current passing through the coil.

AC Motor Design: a simulation program for A.C. motor design that was reapplied as a constrained optimization problem with 12 unknown parameters and 7 constraints.

Digitized Signal from Magnetic Recording: Magnetic recording of transitions written onto a computer disc drive may produce an isolated pulse as shown.

PharmacoKinetics: an open-two- compartment model with first order absorption into elimination from central compartment is presented here.


 
Copyright © 2005 Optimal Designs Enterprise. All rights reserved.