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RISC Chip

by Kindohm

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Guy Birkin Fresh sounds, intriguing patterns and brutal beats. Favorite track: 32-bit Falcon.
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Record/Vinyl + Digital Album
Digital music on analogue vinyl. 100 copies. Includes unlimited streaming of via the free Bandcamp app, plus high-quality download in MP3, FLAC and more.
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Streaming + Download
Includes unlimited streaming via the free Bandcamp app, plus high-quality download in MP3, FLAC and more. Digital edition contains two bonus tracks not found on the vinyl.
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A heavy hitting long-player comes to Conditional in the form of Kindohm's magnum opus, 'RISC Chip'. Minneapolis-based Mike Hodnick, aka Kindohm, is widely known for his live-coded dancefloor interruptions, wringing splattered rhythms and textures from a text editor using the open source software TidalCycles. Adding analogue synths to his palette, 'RISC Chip' morphs and refines Kindohm's previous work into a bewilderingly singular work encompassing glitch, breakcore, IDM and techno. At once bruisingly complex and alluringly minimal, tracks like '32-bit Falcon' and 'Bit Dust' crunch and flex with pin-point percussion, opaque bass and paradoxical rhythm that only a mad-scientist approach to musicianship could afford. Elsewhere, 'Mint' and 'Practical Closures' let the sound open up a little more, giving some breathing room but keeping a stony gaze on the dancefloor. We're intensely proud to bring this destroyer into the Conditional fold. Roll up your sleeves and fall in. www.kindohm.com www.conditional.club Try TidalCycles: FOOTWEAR Toe strap sandals on YOOXCOM ANOTHER PROJECT rzTUvRk
released December 15, 2016 Music and code by Mike Hodnick. Art by Chris LeBlanc. Mastering by Calum Gunn.
all rights reserved

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Conditional Berlin, Germany

100x 1 + 200x 2 >= 90 (nutrient A) 80x 1 + 150x 2 >= 50 (nutrient B) 40x 1 + 20x 2 >= 20 (nutrient C) 10x 1 >= 2 (nutrient D)

Note the use of an inequality rather than an equality in these constraints, following the rule we put forward in the Womens Irishell Leather Half DOrsay Pumps Christian Louboutin yLm0JONcHl
, where we assume that the nutrient levels we want are lower limits on the amount of nutrient in one kg of feed mix.

x 1 + x 2 + x 3 = 1

Presumably to minimise cost, i.e.

minimise 40x 1 + 60x 2

which gives us our complete LP model for the blending problem.

In case you are interested the optimal solution to this LP (solved using the package as dealt with white Ultra Boost laceless sneakers adidas xkCfZhY
) is x 1 = 0.3667, x 2 =0.2667 and x 3 =0.3667 to four decimal places.

Obvious extensions/uses for this LP model include:

Blending problems of this type were, in fact, some of the earliest applications of LP (for human nutrition during rationing) and are still widely used in the production of animal feedstuffs.

A company manufactures four variants of the same product and in the final part of the manufacturing process there are assembly, polishing and packing operations. For each variant the time required for these operations is shown below (in minutes) as is the profit per unit sold.

x i be the number of units of variant i (i=1,2,3,4) made per year T ass be the number of minutes used in assembly per year T pol be the number of minutes used in polishing per year T pac be the number of minutes used in packing per year

where x i >= 0 i=1,2,3,4 and T ass , T pol , T pac >= 0

(a) operation time definition

T ass = 2x 1 + 4x 2 + 3x 3 + 7x 4 (assembly) T pol = 3x 1 + 2x 2 + 3x 3 + 4x 4 (polish) T pac = 2x 1 + 3x 2 + 2x 3 + 5x 4 (pack)

(b) operation time limits

The operation time limits depend upon the situation being considered. In the first situation, where the maximum time that can be spent on each operation is specified, we simply have:

T ass <= 100000 (assembly) T pol <= 50000 (polish) T pac <= 60000 (pack)

In the second situation, where the only limitation is on the total time spent on all operations, we simply have:

T ass + T pol + T pac <= 210000 (total time)

Presumably to maximise profit - hence we have

maximise 1.5x 1 + 2.5x 2 + 3.0x 3 + 4.5x 4

which gives us the complete formulation of the problem.

We shall solve this particular problem later in the course.

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