Multi-user time based simulation – deploying new version without downtime
I am making a multiplayer strategy simulation game. The game runs in turns of fixed duration, e.g. 1 minute.
Is this theoritically possible to create a full android device simulator
I want to adjust firmware components, or to have opportunity to test something on an android device. A problem is that usually modern devices prohibit to recover a brick for free.
Theoritically it is possible to program a full device simulator, primary to handle first low level stages (like bootloaders, and possibly boot, recovery, fastboot), not necessary to even program a workable screen and therefore OS, but preferable. A one way i know how to get hardware info is look into /proc using root.
In /proc/iomem there is common device memory map,
In /proc/devtree there is list of hardware components, versions and their base address to interact with,
/proc/devices has list of some unknown devices and /proc/cpuinfo has a list of all cpus with their version. Some additional useful info how that individual device work i think may be found in product documentation.
To find base address of images may be copied a scetter file from firmware and, some additional possibly not needed addresses may be resolved by unpacking boot and recovery.
RTD Oscillator in SystemVue (Resonant Tunneling Diode)
Can someone help me build an RTD Oscillator (Resonant Tunneling Diode) in SystemVue?
How do I write a program with two control loops?
I assume this is thoroughly discussed but I don’t have the vocabulary to find it.
I am trying to effectively write a simulation of a device that runs code.
I am interested in writing the simulation using Python or MATLAB, preferably in a single thread.
How can I tell whether activating 100,000 time warp in Kerbal Space Program speeds up KSP or slows down the rest of the universe? [closed]
Closed 33 secs ago.
What is The Best Practice to Simulate and Control Low-Cost Servo Arms in Drake
I am attempting to simulate a servo arm similar to those used in the Aloha kits, which do not have torque control and have a large gear ratio. From my understanding, Drake uses a force-based simulator. With that, simulating these types of arms with high PD gains might lead to numerical instability. Drake perfectly supports torque-based manipulators like Kuka and Franka Panda, but I am uncertain about the best approach for simulating and controlling these more basic servo-based arms, which typically exhibit larger control errors and gear ratios.
Shuffling algorithm with no “self-mapping”?
To randomly shuffle an array, with no bias towards any particular permutation, there is the Knuth Fischer-Yeats algorithm. In Python:
Shuffling algorithm with no “self-mapping”?
To randomly shuffle an array, with no bias towards any particular permutation, there is the Knuth Fischer-Yeats algorithm. In Python:
Shuffling algorithm with no “self-mapping”?
To randomly shuffle an array, with no bias towards any particular permutation, there is the Knuth Fischer-Yeats algorithm. In Python:
Shuffling algorithm with no “self-mapping”?
To randomly shuffle an array, with no bias towards any particular permutation, there is the Knuth Fischer-Yeats algorithm. In Python: