Maths and simulation software can often be a minefield of abstract concepts leaving you dazed and confused about the best tool for your application. Here, we cut through the jargon and make the positioning of our products abundantly clear.

The packages we offer can be divided into two groups:

• Equation-based packages, in which you write down your equations in a form and syntax that the package understands, solve or manipulate those equations using the package's internal functionality and then view the results numerically, algebraically or graphically.
  
  Maple | Mathcad
  
  
• Block-diagram based tools, in which you drag and drop blocks from a menu or pick list, which each represent a mathematical function or physical process. These are then wired together to specify the flow of the simulation, again viewing the results numerically or graphically.
  
  MapleSim | VisSim | Micro Saint Sharp
  
  Training

Equation-based packages:

Maple

The development of high-speed computers and desktop applications has had a significant effect on calculation efficiency and the way engineers, scientists and mathematicians perceive calculations. However, the design of tools like spreadsheets encourages you to numerically evaluate your equations at the first possible instance, and in effect you lose control of your parameters and lose sight of the physical assumptions and information that your equations contain. In essence they only address the final part of mathematical problem-solving - that of number-crunching.

By keeping your equations in a symbolic form and only evaluating them when you need to, you retain that physical information and maintain the physical integrity of your model. Optimisation techniques are easier to manage and "what-if" studies are more powerfully exploited. Maple directly supports this through its four major characteristics:

• It provides a set of tools that mechanises the algebraic manipulation of equations; a field hardly ever taken to its full potential because of the intense human effort traditionally required. The tedium is removed from, for example, rearranging and solving equations algebraically as well as the symbolic solution of systems of differential equations.
  
• A high-end numerical engine allows the numerical evaluation of your model, as well as, for example, providing facilities for matrix manipulation, frequency-domain analysis and the numerical solution of differential equations. Maple is particularly suitable if the high-speed numerical processing of very large data sets (e.g. over 10 million points) is of relevance.
  
• Publication-quality, high-resolution graphs can be displayed on screen or exported to a variety of formats.
  
• A procedural programming language allows you to develop your own algorithms, while retaining full use of the existing symbolic and numeric functionality.
  

To find out more about Maple, click here.

MapleSim

Leaps and bounds in simulation technology are few and far between, but engineers constantly demand the next big step change in modelling power and flexibility. This is driven by their desire to add greater value through better engineering design than their rivals.

The computer models necessary to generate these designs consume engineer-hours at an unbounded rate as they become increasingly sophisticated. This is the driving force behind the development of MapleSim, a next-generation multi-domain modelling and simulation tool that reduces model development time.

• Unlike legacy block-diagram tools, you don't have to derive system equations before you start modelling. Simulation are developed by placing high-level physical components onto a worksheet and wiring them together.
  
• Components are drawn from multiple physical domains and range from gears and joints to electrical and hydraulic components.
  
• Simulations look like the real engineering system, making it simple to understand the physical system based on what's on screen, and thus enabling better collaboration across a team.
  
• Symbolic equations that describe system dynamics are automatically generated and manipulated in the Maple worksheet environment.
  
• Leading maths technology delivers solvers and optimisers that cope with the realistic simulations where other tools fail.
  
• Convert simulations to C-code and RTW-compatible Simulink blocks with built-in analysis templates.
  
• a remarkably intelligent interface contains full units support, and only allows connections where physically meaningful.

To find out more about MapleSim, click here.

Mathcad

The numerical evaluation of engineering and scientific equations is a process that usually consists of nothing more than a finite series of additions, multiplications and exponentiations, with the occasional trigonometric or logarithmic function. In theory, a calculator or a spreadsheet could possibly provide all the number-crunching power you'll ever need.

Engineering and scientific analyses, however, usually have several critical characteristics that these tools do not traditionally address:

• The order in which the equations are numerically evaluated is usually defined by some external engineering logic or procedure.
  
• The evaluation order and the equations you're using must be abundantly clear to both you and perhaps an external auditor.
  
• Dimensionality is nearly always a fundamental part of the calculation procedure.
  
• A deliverable illustrating the calculation procedure is usually part of the final product.

Mathcad integrates the design-metaphor of a piece of paper with a units-aware mathematical engine. Consequently, it’s the most appropriate package if the above characteristics largely define your work. A Mathcad worksheet has several features:

• Equations are entered and presented in proper mathematical notation with over-line division, and superscripts for powers.
  
• A strict flow-of-control exists in Mathcad worksheets; they read from left-to-right, top-to-bottom. This makes the evaluation order of your equations explicitly clear and you're not jumping about from cell to cell as you would be in a spreadsheet.
  
• Annotation is simple - the ease with which you can add descriptive text to your worksheet is a particularly valuable feature.
  
• Tools are provided to mathematically manipulate your equations or data.
• Results are viewed numerically or graphically.
  
• Mathcad also hosts the most user-friendly implementation of units on the market. Scaling a velocity so that it's in furlongs per fortnight, for example, is trivially easy.

To find out more about Mathcad, click here.

Block-diagram based tools:

VisSim

The diffusion of a chemical species or the operating curve of a turbogenerator are processes that can be conceptualised as continuous over time. That makes them particularly suitable for simulation in VisSim, a package explicitly targeted at the simulation of linear and non-linear dynamic systems. Blocks are selected from a menu or a series of toolbars, placed on a worksheet and wired together to specify the flow of a simulation. Each block represents a mathematical operation: perhaps something as simple as a basic arithmetic operation, or possibly a filter response or transfer function.

It's an easy package to use; the syntax consists of nothing more than wiring blocks together. The support desk at Adept Scientific find that most queries regarding the package invariably distil down to the customer's understanding of the engineering or scientific process under study. A corollary is that very little barrier exists between the user and the realisation of their modelling concepts.

• VisSim is particularly suitable if your system is largely characterised by feedback.
  
• VisSim's ability to compile a simulation to a DLL or an executable typically increases simulation speed by an order of magnitude.
  
• Signal processing and communication system design, real-time data acquisition and a variety of other toolboxes are available.
  
• The freely-distributable VisSim Viewer enables your colleagues to run simulations and change operating parameters.

To find out more about VisSim, click here.

Micro Saint Sharp

• You’re the production manager of a factory. Piles of intermediate materials are building up at various points in your manufacturing process. You want to know whether the benefit of less work in progress with a JIT production process is worth the increase in production time.
  
• A hospital manager wants to find the optimum staffing levels and distribution of equipment in an emergency ward given constraints on the amount of money that’s available.
  
• A helicopter designer wants to know if a pilot can process the shear amount of sensory data available and still be able to control the aircraft.

Each of these processes can be deconstructed into a number of tasks executed in series or parallel, a task simply being a process or physical activity that takes a finite amount of time to execute. By definition they're discrete event simulations and Micro Saint Sharp is specifically designed to model these problems.

A Micro Saint Sharp simulation consists of three layers: i) tasks are placed on a worksheet, ii) the tasks are connected together to develop a flowchart of the process, and iii) timing and process logic is specified in each task with a series of simple programming statements.

• The interaction of human operators with process equipment is a common use of the package.
  
• The ebb and flow of work queues is a concept easily modelled in Micro Saint.
  
• A customer notably modelled a factory floor process in Micro Saint and optimised their capital expenditure to minimise batch processing time.
  

To find out more about Micro Saint Sharp, click here.

Training

We run regular Training Courses for these products. They are designed to provide you with practical, hands-on experience and bring you up to speed quickly, so you get the most out of the software and maximise the productivity benefits to be had from your investment. To find out more about them, click here.