The math-in network provides all business sectors and Administrations with a wide range of technology solutions based on the application of mathematics. The services provided by the math-in network can be grouped into three major areas:
1.- Computer-Aided Engineering (CAD/CAE)
Computer-Aided Engineering (CAE) uses the results obtained in computer-aided design (e.g. part, plan, image or graphic design) and in calculation computer programmes to simulate, predict or study the performance of products or processes (e.g. for thermic, mechanical stress, manufacturing process studies, etc.), thus achieving significant improvement in cost, time and, in general, the monitoring of the research, development and innovation process.
Computer-Aided Engineering is applied to all types of phenomena: mechanical or structural, thermal or thermodynamic, manufacturing processes (injection, stamping, forging, etc.), electronic and/or electromagnetic, fluid (gases and liquids), acoustic or vibroacoustic, environmental, multiphysics, etc.
Within the CAD/CAE field the math-in network meets all your company needs concerning information or advice on its possible applicability, selection, initial implementation and validation of the tools to be used, training, definition or calculation of the processes to be improved, customized development of software or interfaces between programmes, etc.
2.- Statistical, data analysis or decision support techniques
These mathematical techniques include different methods used, for example, to improve customer analysis, markets, products, quality, planning, risks, logistics, allocation and optimization of resources and processes, etc.
These methods cover all business needs in several areas: quality control; stock control and optimization, manufacturing process control and optimization; risk or financial product analysis; business strategy, decision, logistics and planning; customer analysis, and market research or product studies; exploitation of internal information (data mining, business intelligence); design of experiments; clinical trials, etc.
3.- Other mathematical techniques
Several mathematical techniques can be applied to areas such as geographical location; image or signal processing; geometry, design or visualization; bioinformatics or biomathematics; search and coding information or computing.
Applying such techniques provides solutions in several areas: digital image processing (graphics, video, animation, image recognition); geometric analysis (computational geometry, visualization, CAD development, symbolic methods); digital signal processing; design of geographic information systems such as GIS or GPS; communication networks; information coding, cryptography and computer security; computing, computer algebra; language processors; symbolic and numeric algorithms; information and knowledge processing and search (semantic web, algorithms for Internet); bioinformatics, genomics and proteomics, biomathematics (applications in life and health sciences such as, for example, diagnostic techniques, medical prescription, drug administration, growth and spread of diseases, pest control, systems biology), etc.